Working Papers

The WNE Working Papers series has been published by the Faculty of Economic Sciences at the University of Warsaw since 2008.

The WNE Working Papers series provides a fast, open channel for disseminating research conducted at the Faculty of Economic Sciences, University of Warsaw. The papers hosted here are working versions (pre-prints) and may evolve as authors refine their analyses, incorporate feedback, or progress through formal peer-review. What you read is the current version released by the authors, timestamped and assigned DOI/ISSN identifiers to ensure precise citation and version tracking. Copyright remains with the authors, who may, at any time, upload a revised file or add a note directing readers to a later, peer-reviewed publication.

The Working Papers series accepts articles by research employees of the Faculty and publications from conferences organised at the Faculty of Economic Sciences at the University of Warsaw. Articles should be original research papers which have not been previously published, on the subject of economics.

Please send your paper by e-mail: T~soe}IQd^3bL[zJfgnXBYNP5SU]#[Lnf[Ol-BFOsU@rr5LpdPK?/FBDB 

Please send 2 files:

(1) the main text without the title of the article and the authors (DOC/DOCX file) and

(2) the title page including: the title of the paper, the authors and their affiliation (DOC/DOCX file).

Please read the detailed editing requirements before submitting your text. 

Number of Results 3

WP(2/2022)378. The profitability of pairs trading strategies on Hong-Kong stock market: distance, cointegration, and correlation methods

Authors: Baiquan Ma, Ślepaczuk Robert
This research aims to compare the profitability of correlation-based pair trading strategy, cointegration-based pair trading strategy, and distance-based pair trading strategy on the Hong Kong stock market. We try to build an effective pair trading s…

WP378. The profitability of pairs trading strategies on Hong-Kong stock market: distance, cointegration, and correlation methods

This research aims to compare the profitability of correlation-based pair trading strategy, cointegration-based pair trading strategy, and distance-based pair trading strategy on the Hong Kong stock market. We try to build an effective pair trading strategy based on 50 stocks listed in the Hang Seng index joining them in market-neutral pairs. The dataset has a daily frequency and covers the period from 07/01/2013 to 07/01/2020. The result shows that all three methods are profitable in the Hong Kong stock market and can beat the market with regard to risk-adjusted return metrics. This result is quite sensitive to the varying number of pairs traded and rebalancing period and less sensitive to financial leverage degree. Moreover, the cointegration method is superior as compared to the correlation method and distance method.


Baiquan Ma, Ślepaczuk Robert
pairs trading strategy market neutral strategy algorithmic trading strategy distance method cointegration and correlation trading efficient market hypothesis investment portfolio algorithmic trading Hang Seng index

WP(39/2020)345. Applying Hurst Exponent in Pair Trading Strategies

Authors: Bui Quynh, Ślepaczuk Robert
This research aims to seek an alternative approach to pair selection for the purpose of pair trading strategy. We try to build an effective pair trading strategy based on 103 stocks listed in NASDAQ-100 index. The dataset has daily frequency and cove…

WP345. Applying Hurst Exponent in Pair Trading Strategies

This research aims to seek an alternative approach to pair selection for the purpose of pair trading strategy. We try to build an effective pair trading strategy based on 103 stocks listed in NASDAQ-100 index. The dataset has daily frequency and covers the period from 01/01/2000 to 31/12/2018. In this study, Generalized Hurst Exponent, Correlation and Cointegration are employed to detect the mean-reverting pattern in the time series of linear combination of each pair of stock. The result show that Hurst method cannot outperform the benchmark, which implies that market is efficient. This result is quite sensitive to varying number of pairs traded and rebalancing period and less sensitive to financial leverage degree. Moreover, Hurst method is better than cointegration method but is not superior as compared to correlation method.


Bui Quynh, Ślepaczuk Robert
generalized Hurst & Hurst exponent algorithmic trading strategies portfolio choice mean-reversion strategy pair trading correlation & cointegration trading efficient market hypothesis

WP(/2008)8. Analysis of HF data on the WSE in the context of EMH

Authors: Strawiński Paweł, Ślepaczuk Robert
This paper focuses on one of the heavily tested issue in the contemporary finance, i.e. efficient market hypothesis (EMH). The existing evidence in the literature is ambiguous. For some markets the departure from efficiency is observed only when…

WP8. Analysis of HF data on the WSE in the context of EMH

This paper focuses on one of the heavily tested issue in the contemporary finance, i.e. efficient market hypothesis (EMH). The existing evidence in the literature is ambiguous. For some markets the departure from efficiency is observed only when High Frequency (HF) data are analysed. Therefore, we verify efficient market hypothesis (EMH) basing our analysis on 5-minute data for WIG20 index futures quoted on the Warsaw Stock Exchange (WSE). We use robust regression that assigns the higher weights to the better behaved observations in order to verify the existence of daily and hourly effects. Our results indicate that the day of the week effect and hour of the day effect are observed. What is more important is the existence of strong open jump effect for all days except Wednesday and positive day effect for Monday. Considering the hour of the day effect we observe positive, persistent and significant open jump effect and the end of session effect. Aforementioned results confirm our initial hypothesis that Polish stock market is not efficient in the information sense.


Strawiński Paweł, Ślepaczuk Robert
high-frequency financial data robust analysis pre-weighting efficient market hypothesis calendar effects intra-day effects the open jump effect the end of session effect emerging markets
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